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Inference on the Gamma Distribution

Technometrics, 2017
This study develops inferential procedures for a gamma distribution. Based on the Cornish–Fisher expansion and pivoting the cumulative distribution function, an approximate confidence interval for ...
Fangtao Wu, Bing Xing Wang
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THE WEIGHTED GENERALIZED GAMMA DISTRIBUTION IS THE GENERALIZED GAMMA DISTRIBUTION

Probability in the Engineering and Informational Sciences, 2016
It is pointed out that the weighted generalized gamma distribution of Priyadarshani and Oluyede [2] is a generalized gamma distribution.
S. Nadarajah
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The gamma-Lomax distribution

Journal of Statistical Computation and Simulation, 2013
For any continuous baseline G distribution, Zografos and Balakrishnan [On families of beta- and generalized gamma-generated distributions and associated inference. Statist Methodol. 2009;6:344–362] proposed a generalized gamma-generated distribution with an extra positive parameter.
Gauss M. Cordeiro   +2 more
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The Gamma–Kumaraswamy distribution: An alternative to Gamma distribution

Communications in Statistics - Theory and Methods, 2018
ABSTRACTIn this article, a new generalization of the Kumaraswamy distribution, namely the Gamma–Kumaraswamy distribution, is defined and studied. Various properties of the Gamma–Kumaraswamy are obtained. The structural analysis of the distribution in this article includes limiting behavior, mode, quantiles, moments, skewness, kurtosis, Shannon’s ...
Indranil Ghosh, G. G. Hamedani
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Gamma-Maxwell distribution

Communications in Statistics - Theory and Methods, 2016
ABSTRACTA new two-parameter distribution, the gamma-Maxwell distribution, isproposed and studied. We generate the new distribution using the gamma-G generator of distributions. The proposal distribution can be seen as an extension of the Maxwell distribution with more flexibility in terms of the distribution asymmetry and kurtosis.
Yuri A. Iriarte   +3 more
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On the Inverted Gamma Distribution

, 2016
If a random variable follows a particular distribution then the distribution of the reciprocal of that random variable is called inverted distribution. In this paper we studied some issues related with inverted gamma distribution which is the reciprocal ...
S. Abid, Saja A. Al-Hassany
semanticscholar   +1 more source

On the Lagrange gamma distribution

Computational Statistics & Data Analysis, 1998
Statistical inference on the Lagrange gamma distribution is considered in this paper. The method of moments, the maximum-likelihood estimation technique, and the estimation of the scale parameter by order statistics are discussed. A linear rank test statistic is proposed for the distribution. A numerical example on the application of the Lagrange gamma
Z. Govindarajulu, Felix Famoye
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On Characterizations of Gamma Distribution

Bulletin of the Malaysian Mathematical Sciences Society, 2014
Let \(X\) and \(Y\) be independent identically distributed nondegenerate and positive random variables with common absolutely continuous distribution function \(F(x)\). Put \(Z=\max (X,Y) \) and \(W=\min (X,Y)\). In this paper, it is proved that \(\dfrac{Z}{Z+W}\)\(\bigg ( {\mathrm{or}} \,\,\, \dfrac{W}{Z+W} \bigg ) \) and \(Z+W\) are independent if ...
Min Young Lee, Janos Galambos
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An extension of the gamma distribution

Communications in Statistics - Theory and Methods, 2015
ABSTRACTThe gamma distribution has been widely used in many research areas such as engineering and survival analysis. We present an extension of this distribution, called the Kummer beta gamma distribution, having greater flexibility to model scenarios involving skewed data. We derive analytical expressions for some mathematical quantities.
Saralees Nadarajah, Rodrigo R. Pescim
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